Abstract
Global scientific research output has experienced continuous and rapid growth during the last 20 years. The spatial and temporal variations of the international papers at the national and regional scales were analyzed by combining the remotely sensed nighttime light data from the Defense Meteorological Satellite Program’s Operational Linescan System. The findings indicate that the publication of international-circulation scientific papers in most of the countries examined have experienced a trend of exponential increase which can be positively correlated with nighttime light in those counties or regions. Furthermore, the developing countries have higher correlation coefficients than the developed countries. Thus, literal nighttime light data can potentially be used in future to better predict the number of publications of the research of figurative ‘luminaries’ residing in developing countries.
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References
Bellis, D. N. (2009). Bibliometrics and citation analysis: From the science citation index to cybermetrics. Lanham: Scarecrow Press.
Briggs, D. J., Gulliver, J., Fecht, D., & Vienneau, D. M. (2006). Dasymetric modelling of small-area population distribution using land cover and light emissions data. Remote Sensing of Environment, 108, 451–466.
Elvidge, C. D., Imhoff, M. L., Baugh, K. E., Hobson, V. R., Nelson, I., Safran, J., et al. (2001). Night-time lights of the world: 1994–1995. ISPRS Journal of Photogrammetry and Remote Sensing, 56, 81–99.
Elvidge, C. D., Ziskin, D., Baugh, K. E., Tuttle, B. T., Ghosh, T., Pack, D. W., et al. (2009). A fifteen year record of global natural gas flaring derived from satellite data. Energies, 2(3), 595–622.
Garfield, E. (2010). The evolution of the science citation index. International Microbiology the Official Journal of the Spanish Society for Microbiology, 10(1), 65–69.
Ghosh, T., Powell, R., Elvidge, C. D., Baugh, K. E., Sutton, P. C., & Anderson, S. (2010). Shedding light on the global distribution of economic activity. The Open Geography Journal, 3, 148–161.
Ma, T., Zhou, C., Pei, T., Haynie, S., & Fan, J. (2012). Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China’s cities. Remote Sensing of Environment, 124, 99–107.
Meng, L., Graus, W., Worrell, E., & Huang, B. (2014). Estimating CO2 (carbon dioxide) emissions at urban scales by DMSP/OLS (Defense Meteorological Satellite Program’s Operational Linescan System) nighttime light imagery: Methodological challenges and a case study for China. Energy, 71, 468–478.
Wang, X. W., Xua, S. M., Peng, L., Zhi Wang, Z., Wang, C. L., Zhang, C. B., et al. (2012). Exploring scientists’ working timetable: Do scientists often work overtime? Journal of Informetrics, 6(4), 655–660.
Acknowledgements
This study was supported by the Fundamental Research Funds for the Central Universities (Grant Numbers XDJK2015C146 and XDJK2015B021) and Special Project of Science and Technology Basic Work (Grant Number 2014FY210800-5). The WOS literature data and DMSP-OLS nighttime light emissions datasets were downloaded and analyzed in this study. The authors want to express their great thanks for the sharing of the these datasets.
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Wang, X., Ma, M. The luminous intensity of regional ‘night-light’ output can predict the growing volume of published scientific research by ‘luminaries’ in developing countries. Scientometrics 110, 1005–1010 (2017). https://doi.org/10.1007/s11192-016-2188-7
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DOI: https://doi.org/10.1007/s11192-016-2188-7